Numerical Algorithms for Personalized Search in Self-organizing Information Networks
- 156 pages
- 6 hours of reading
The book provides a comprehensive exploration of personalized search and reputation management, focusing on theoretical foundations and scalable algorithms. It leverages graphlike properties to enhance these systems, addressing practical applications in peer-to-peer and social networks. By integrating foundational research, it examines realistic scenarios involving large-scale web data, making it a crucial resource for understanding advancements in this evolving field.
